Implicit bias and automated decision-making

risks and benefits

Abstract

This article aims to analyze the risks and benefits of automated decisionmaking in relation to the implicit biases derived from heuristic processes. For this purpose, concepts that are fundamental to the understanding of the theme will be developed, such as the classification of heuristic processes in behavioral economics. Then, the results of empirical studies that reveal the aplication of cognitive biases in the field of judicial decision-making are exposed. At the end, the risks arising from the use of artificial intelligence tools - whose algorithms can assimilate human bias - are presented, as well as the possible benefits resulting from the fact that these tools perform tasks in an objective manner, away from emotional processes.